GPT-4.1 mini vs Gemini 3.6 Flash: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-4.1 mini
Pricing (per 1M tokens)
Input$0.4000
Output$1.60
Cached Input$0.1000
Batch Input$0.2000
Batch Output$0.8000
Context & Output
Context Window1.0M tokens
Max Output32.8K tokens
Capabilities
Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes
Gemini 3.6 Flash
Pricing (per 1M tokens)
Input$0.7500
Output$3.75
Cached Input$0.0750
Batch Input$0.3750
Batch Output$1.88
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categorymid
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-4.1 mini
46.7% cheaper
Cheaper Output Price
GPT-4.1 mini
57.3% cheaper
Larger Context Window
GPT-4.1 mini
+47.6K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-4.1 mini
$2.00
$0.4000/1M input + $1.60/1M output
Gemini 3.6 Flash
$4.50
$0.7500/1M input + $3.75/1M output
GPT-4.1 mini is 55.6% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-4.1 mini or Gemini 3.6 Flash?
For input tokens, GPT-4.1 mini is cheaper at $0.4000 per 1M tokens. For output tokens, GPT-4.1 mini is cheaper at $1.60 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-4.1 mini vs Gemini 3.6 Flash?
GPT-4.1 mini has a context window of 1.0M tokens, while Gemini 3.6 Flash has 1M tokens. GPT-4.1 mini supports a larger context window of 1.0M tokens, which is beneficial for processing longer documents.
How do GPT-4.1 mini and Gemini 3.6 Flash compare for batch processing?
Both models support batch processing with discounted rates. GPT-4.1 mini offers a better batch rate at $0.2000 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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